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PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
16 years 1 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
ASPDAC
2009
ACM
164views Hardware» more  ASPDAC 2009»
16 years 1 months ago
Accounting for non-linear dependence using function driven component analysis
Majority of practical multivariate statistical analyses and optimizations model interdependence among random variables in terms of the linear correlation among them. Though linear...
Lerong Cheng, Puneet Gupta, Lei He
CDC
2008
IEEE
154views Control Systems» more  CDC 2008»
16 years 1 months ago
Distributed calculation of linear functions in noisy networks via linear iterations
— Given a fixed network where each node has some given initial value, and under the constraint that each node receives noisy transmissions from its immediate neighbors, we provi...
Shreyas Sundaram, Christoforos N. Hadjicostis
ICC
2007
IEEE
145views Communications» more  ICC 2007»
16 years 26 days ago
Adaptive Radial Basis Function Detector for Beamforming
— We consider nonlinear detection in rank-deficient multiple-antenna assisted beamforming systems. By exploiting the inherent symmetry of the underlying optimal Bayesian detecti...
Sheng Chen, Khaled Labib, Rong Kang, Lajos Hanzo
BIBE
2006
IEEE
112views Bioinformatics» more  BIBE 2006»
16 years 18 days ago
Finding Correlations in Functionally Equivalent Proteins by Integrating Automated and Visual Data Exploration
The analysis of alignments of functionally equivalent proteins can reveal regularities such as correlated positions or residue patterns which are important to ensure a specific f...
Daniel A. Keim, Daniela Oelke, Royal Truman, Klaus...